研究了建模策略对铁路车轮磨损齿形计算的影响

N. Bosso, M. Magelli, Nicolò Zampieri
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引用次数: 0

摘要

由于轮轨轮廓的变化对车辆的动力学、运行稳定性和安全性有很大的影响,因此必须进行车轮转动和钢轨磨削等维护操作。数值模型的可用性可以为优化此类操作的调度提供巨大的支持。由于现代计算机体系结构的计算能力,允许并行化和联合仿真,典型的策略是基于执行车辆动力学仿真的动态模块(通常在商业多体(MB)软件包中开发)和用于计算磨损材料的磨损模块。后者可以在相同的MB代码中实现,也可以在单独的软件中实现,例如Matlab/Simulink,它与MB代码交换数据。磨损模块依赖于与正常载荷和滑动距离或接触界面耗散能量有关的磨损量的磨损规律。这两种类型的定律都可以局部应用,从接触压力和滑动速度计算离散接触片中每个单元的磨损深度,或者全局应用,从而从全局力和蠕变开始计算磨损体积或质量。在后一种情况下,磨损材料是在整个接触片上计算的,而不仅仅是在滑动区,并且需要一个适当的分布来将磨损深度与磨损体积联系起来。本工作旨在进一步研究两种方法在参考车辆和轨道方面的具体案例研究中的差异,通过Simpack MB代码进行动态模拟。本文旨在强调数值结果和计算工作的差异,将局部模型计算的磨损与Simpack磨损模块的输出进行比较。
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STUDY ON THE INFLUENCE OF THE MODELLING STRATEGY IN THE CALCULATION OF THE WORN PROFILE OF RAILWAY WHEELS
As changes in the wheel and rail profiles strongly affect vehicle dynamics, running stability and safety, maintenance operations such as wheel turning and rail grinding are necessary. The availability of numerical models for wear prediction can be a huge support to optimize the scheduling of such operations. Thanks to the computational power of modern computer architectures, allowing parallelization and co-simulation, the typical strategy is based on a dynamic module performing the vehicle dynamics simulation, usually developed in commercial multibody (MB) software packages, and on a wear module for the calculation of the worn material. The latter can be implemented in the same MB code or in a separate software, such as Matlab/Simulink, which exchanges data with the MB code. Wear modules rely on wear laws relating the amount of worn material to the normal load and sliding distance or to the energy dissipated at the contact interface. Both types of law can be applied locally, calculating the worn depth in each cell of the discretized contact patch from the contact pressures and sliding speeds, or globally, hence calculating the worn volume or mass starting from the global forces and creepages. In the latter case, the worn material is calculated on the whole contact patch rather than only on the slip zone, and a proper distribution is required to relate the worn depth to the worn volume. The present work aims to further investigate the differences between the two approaches in the computed worn profiles in a specific case study in terms of reference vehicle and track, carrying out the dynamic simulations through the Simpack MB code. The paper is intended to highlight the differences in both the numerical results and computational efforts, comparing the wear computed by a local model with the outputs of the Simpack wear module.
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